Janina Datz

Janina Datz serves as a Research Fellow at the Institute for Computational Mechanics (LNM) at Technical University of Munich since 2020, where she conducts research in computational biomechanics for interventional cardiology and teaches the Numerical Biomechanics practical course (SS 2022-2024).

Her academic qualifications include:

• Master of Science in Mechanical Engineering, TUM (2020)
• Research Practicum, University of New South Wales, Sydney (2018)
• Bachelor of Science in Mechanical Engineering, TUM (2017)

Her research specializes in computational modeling of coronary artery disease and physics-informed simulations of angioplasty procedures. She develops mixed-dimensional finite element frameworks for stent-artery interactions, integrating medical imaging data to create personalized predictive models for preventative cardiology. Her work bridges solid mechanics, contact mechanics, and clinical applications to optimize interventional outcomes.

Recent publications reveal a concentrated focus on patient-specific cardiovascular simulations, with dominant themes in finite element analysis of stent deployment, in-stent restenosis prediction, and computational frameworks for angioplasty planning. Key methodological contributions include mixed-dimensional contact mechanics and integration of coronary CT angiography data.

She actively mentors students across bachelor's, master's, and term paper levels, supervising projects on coronary constitutive modeling, perivascular tissue mechanics, stent malapposition analysis, and computational frameworks for catheter initialization. Her academic guidance occurs within TUM's Numerical Mechanics curriculum.

Her research is supported through collaboration with the German Heart Center Munich's Cardiology Department (Prof. Schunkert) under the joint initiative 'The future of medicine, AI - Heart Center' with Munich Institute of Robotics and Machine Intelligence (MIRMI), focusing on AI-driven cardiovascular interventions.

As a core member of LNM directed by Prof. Wolfgang A. Wall, she contributes to a multidisciplinary team advancing computational mechanics for biomedical applications, utilizing high-performance computing infrastructure at TUM's Garching campus.